SPARSE AND CONTINUOUS ATTENTION MECHANISMS
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2021 |
Martins, André |
GENERALIZED FOCAL LOSS: LEARNING QUALIFIED AND DISTRIBUTED BOUNDING BOXES FOR DENSE OBJECT DETECTION
|
2021 |
Li, Xiang |
SELF-TRAINING AVOIDS USING SPURIOUS FEATURES UNDER DOMAIN SHIFT
|
2021 |
Chen, Yining |
REGRET IN ONLINE RECOMMENDATION SYSTEMS
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2021 |
Ariu, Kaito |
QUANTIFYING THE EMPIRICAL WASSERSTEIN DISTANCE TO A SET OF MEASURES: BEATING THE CURSE OF DIMENSIONALITY
|
2021 |
Si, Nian |
BOOTSTRAP YOUR OWN LATENT - A NEW APPROACH TO SELF-SUPERVISED LEARNING
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2021 |
Grill, Jean-Bastien |
EFFICIENT CLUSTERING FOR STRETCHED MIXTURES: LANDSCAPE AND OPTIMALITY
|
2021 |
Wang, Kaizheng |
THE STATISTICAL COST OF ROBUST KERNEL HYPERPARAMETER TURNING
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2021 |
Meyer, Raphael |
A TOPOLOGICAL FILTER FOR LEARNING WITH LABEL NOISE
|
2021 |
Wu, Pengxiang |
A NOVEL VARIATIONAL FORM OF THE SCHATTEN-P QUASI-NORM
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2021 |
Giampouras, Paris |
BOTORCH: A FRAMEWORK FOR EFFICIENT MONTE-CARLO BAYESIAN OPTIMIZATION
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2021 |
Balandat, Maximilian |
ROBUST FEDERATED LEARNING: THE CASE OF AFFINE DISTRIBUTION SHIFTS
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2021 |
Reisizadeh, Amirhossein |
GENERATING ADJACENCY-CONSTRAINED SUBGOALS IN HIERARCHICAL REINFORCEMENT LEARNING
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2021 |
Zhang, Tianren |
NOT ALL UNLABELED DATA ARE EQUAL: LEARNING TO WEIGHT DATA IN SEMISUPERVISED LEARNING
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2021 |
Ren, Zhongzheng |
HARD NEGATIVE MIXING FOR CONTRASTIVE LEARNING
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2021 |
Kalantidis, Yannis |
UNDERSTANDING ANOMALY DETECTION WITH DEEP INVERTIBLE NETWORKS THROUGH HIERARCHIES OF DISTRIBUTIONS AND FEATURES
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2021 |
Schirrmeister, Robin |
IMPROVING ONLINE RENT-OR-BUY ALGORITHMS WITH SEQUENTIAL DECISION MAKING AND ML PREDICTIONS
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2021 |
Banerjee, Shom |
HYPERSOLVERS: TOWARD FAST CONTINUOUS-DEPTH MODELS
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2021 |
Poli, Michael |
ON CONVERGENCE AND GENERALIZATION OF DROPOUT TRAINING
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2021 |
Mianjy, Poorya |
IMPLICIT REGULARIZATION IN DEEP LEARNING MAY NOT BE EXPLAINABLE BY NORMS
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2021 |
Razin, Noam |